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GitHub / farzeennimran / Fashion-MNIST-Dataset-Classification-using-Neural-Network

Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/farzeennimran%2FFashion-MNIST-Dataset-Classification-using-Neural-Network

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 105 KB
Dependencies parsed at: Pending

Created at: 11 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 2 months ago

Topics: artificial-intelligence, data-analysis, data-mining, data-science, dataset, deep-learning, fashion-mnist-dataset, gridsearchcv, hyperparameter-tuning, kfold-cross-validation, machine-learning, multilayer-perceptron-network, neural-network, numpy, pandas, python, sklearn

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